Engineering Education Lecture Series

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“Human-Centered Technologies for Learning and Support in Chemistry Education” – Chris Randles, UCF
This talk presents three strands of research on using emerging technologies to support learning and decision-making in undergraduate STEM. I examine generative AI for large-scale chemistry problem generation and its
limitations for producing truly isomorphic assessments, alongside findings on how students perceive AI-supported academic advising. I conclude with future directions involving wearable sensing for student well-being, AI-assisted survey methods, and immersive augmented-reality tools for STEM instruction and training.

“Transforming Physics Assessments using Generative AI” – Zhongzhou Chen, UCF
This talk outlines three directions for transforming physics assessments using Generative AI, starting
with the creation, implementation and analysis of large isomorphic problem banks to facilitate a shift
toward multi-attempt, formative testing. We then show that AI can automate the grading of written
response to physics problem and write feedback with human-level accuracy. Finally, we introduce early
attempts of “Human-AI Collaboration” tasks designed to evaluate Discipline-based AI Literacy.